Spotify Data Analysis (2010-2023)
Paul Olulana & Deborah Osilade
Introduction
This report explores Spotify data from 2010 to 2023, focusing on trends in music genres, artist performance, and track attributes. Using data visualization techniques, we uncover key insights into Spotify’s music landscape, highlighting popular genres, artists, and track characteristics.
Data Overview
The dataset contains information on tracks from Spotify between 2010 and 2023. It includes variables such as: - Genres: The primary genre(s) of each artist. - Popularity: A numeric measure of track popularity. - Danceability: A score reflecting how suitable a track is for dancing. - Energy: A measure of the track’s intensity and activity.
Data Cleaning
The dataset was cleaned by renaming variables for clarity and filtering tracks with a popularity score above 50 to focus on significant records.
Visualizations
1. Top Genres in spotify
The visualization below highlights the Top Genres on Spotify based on the number of tracks associated with each genre. This analysis provides a clear overview of the most prevalent musical styles on the platform, showcasing listener preferences and industry trends from 2010 to 2023.
2. Danceability vs. Energy
This scatter plot visualizes the relationship between a track’s danceability and energy levels, offering insights into how these attributes correlate. The color intensity represents popularity, with brighter hues indicating more popular tracks, highlighting listener preferences across various musical dynamics.
3. Popularity Trend Over Time
This line chart illustrates the evolution of average track popularity on Spotify over the years, providing a clear view of how listener preferences and trends have changed from 2010 to 2023. The visualization highlights key shifts in the music landscape, offering insights into the dynamics of popularity over time
4. Top 10 Most Popular Artists
The heatmap below showcases the Top 10 Most Popular Artists on Spotify from 2010 to 2023, based on their cumulative popularity scores. Each row represents an artist, with the color intensity reflecting their total popularity. Darker shades indicate higher popularity, offering a visually intuitive way to compare the relative impact of these artists in shaping Spotify’s music landscape
5. Artist Popularity vs. Total Songs
Artist Popularity vs. Total Songs
This bubble chart compares the total number of songs released by Spotify’s top artists to their cumulative popularity, offering a unique perspective on their overall impact. The size of each bubble represents the artist’s average popularity, providing an intuitive way to assess the balance between quantity and quality in their discographies.
Top 10 Artists by Average Popularity
The table below highlights the Top 10 Artists on Spotify based on their average popularity scores, showcasing their success and influence on the platform.
Key Highlights
- Taylor Swift and Drake Dominate:
- Taylor Swift tops the list with an average popularity score of 100 across 34 songs, reflecting unmatched consistency.
- Drake closely follows with a 96 average popularity, also across 34 tracks, emphasizing his widespread appeal.
- Emerging Artists:
- Bad Bunny and The Weeknd achieve an impressive 95 average popularity, even with fewer tracks, showcasing their ability to consistently release hit songs.
- Diverse Profiles and Genres:
- Artists like Future (4 songs) and Travis Scott (9 songs) achieve high popularity, demonstrating the impact of quality over quantity.
- The list spans various genres, including pop, rap, R&B, and hip-hop, reflecting Spotify’s broad audience preferences.
| artist_name | total_songs | total_popularity | avg_popularity |
|---|---|---|---|
| Taylor Swift | 34 | 3400 | 100 |
| Drake | 34 | 3264 | 96 |
| Bad Bunny | 14 | 1330 | 95 |
| The Weeknd | 21 | 1995 | 95 |
| Ariana Grande | 22 | 2068 | 94 |
| Future | 4 | 376 | 94 |
| Kanye West | 19 | 1786 | 94 |
| Travis Scott | 9 | 846 | 94 |
| Beyoncé | 22 | 2046 | 93 |
| Metro Boomin | 2 | 186 | 93 |
Conclusions
This analysis uncovers key trends in Spotify data, offering valuable insights into the platform’s music landscape:
Genre Dominance: Genres such as pop continue to dominate Spotify, reflecting widespread listener preferences.
Artist Consistency: Artists like Taylor Swift and Drake consistently lead in popularity, showcasing their enduring appeal and influence.
Track Attributes: Songs with high energy and danceability are more likely to achieve significant popularity, highlighting the importance of these attributes in audience engagement.
Future Directions: Further studies could examine the influence of regional preferences, exploring how cultural and geographic factors shape these trends.